Spark 应用程序与 Hive 元存储同步 - "There is no primary group for UGI spark"错误



我正在Kubernetes集群上运行一个简单的Spark作业,该作业使用Hive分类将数据写入HDFS。无论出于何种原因,我的应用程序无法运行Spark SQL命令,有以下例外:

21/09/22 09:23:54 ERROR SplunkStreamListener: |exception=org.apache.spark.sql.AnalysisException
org.apache.spark.sql.AnalysisException: org.apache.hadoop.hive.ql.metadata.HiveException: MetaException(message:Got exception: java.io.IOException There is no primary group for UGI spark (auth:SIMPLE));
at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:106)
at org.apache.spark.sql.hive.HiveExternalCatalog.createDatabase(HiveExternalCatalog.scala:183)
at org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.createDatabase(ExternalCatalogWithListener.scala:47)
at org.apache.spark.sql.catalyst.catalog.SessionCatalog.createDatabase(SessionCatalog.scala:211)
at org.apache.spark.sql.execution.command.CreateDatabaseCommand.run(ddl.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)
at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withAction(Dataset.scala:3369)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:194)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:79)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:643)

我正在通过Thrift URL连接到Hive metastore。docker容器以非root用户运行应用程序。是否需要添加某种类型的用户组来与转移同步?

尝试在设置spark上下文之前添加这个

System.setProperty("HADOOP_USER_NAME", "root")